Bandpass nonlinear systems identification by higher order cross correlation

Nonlinear systems constituted by a zero-memory nonlinearity cascaded with linear filters can be identified by input-output cross correlation using a Gaussian input signal. The method is extended to complex systems through a pair of complex invariance theorems. The stated properties allow identifying...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 1991-09, Vol.39 (9), p.2092-2095
Main Authors: Giunta, G., Jacovitti, G., Neri, A.
Format: Article
Language:English
Subjects:
Automatic control
Band pass filters
Circuits
Envelope detectors
Gaussian processes
Linear systems
Nonlinear filters
Nonlinear systems
Plants (biology)
Signal processing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Nonlinear systems constituted by a zero-memory nonlinearity cascaded with linear filters can be identified by input-output cross correlation using a Gaussian input signal. The method is extended to complex systems through a pair of complex invariance theorems. The stated properties allow identifying the linear parts of systems characterized by magnitude/phase nonlinearities with the joint use of second- and third-order input-output moments. The method can be employed for a wide class of communication bandpass circuits when signals are represented by complex envelopes.< >
ISSN:1053-587X
1941-0476
DOI:10.1109/78.134443